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A Cyber-Physical Power Distribution Management System for Smart Buildings

  • Youssef Hamdaoui
  • Abdelilah Maach
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)

Abstract

Cyber-physical systems can collect information from different physical parameters through smart sensors and process this information in the cyber-world for best actuators control and energy efficiency. A smart building is such a good scope of application and presents a prototypical cyber-physical energy system because through sensing and computing, the system can analyze and make decisions based on contextual awareness information from the physical world and use this information in an intelligent way for smart distribution and smart balancing between power resources in outage mode. A new smart building architecture is proposed in this paper based on cyber physical manager for a dynamic selection of powered houses in an islanded building. The cyber physical manager control exchange with the main grid and also manage the power distribution into building based on analyzing of some parameters like real time consumption measurements collected by smart sensors/meters and batteries level charge. Prosumers production is also very important to be including in the building self powering in outage period. A simulation is done with results discussion for more optimization and to check the effectiveness and superiority of our autonomous power management system through on-site distributed generators within buildings to operate in islanding mode. Finally, This paper present a solution for new building generation that can have a self-supply based on distributed renewable energy and thereafter reduce costs for both government and costumers and create smart living space that becomes an important trend of future.

Keywords

Smart distribution system Blackout Emergency situation Prosumers Cyber physical system Storage system Classification Smart building 

References

  1. 1.
    Zhabelova, G., Yang, C.-W., Patil, S., Pang, C., Yan, J.D., Shalyto, A., Vyatkin, V.: Cyber-physical components for heterogeneous modelling, validation and implementation of smart grid intelligence. In: 2014 12th IEEE International Conference on Industrial Informatics (INDIN), pp. 411–417. IEEE (2014)Google Scholar
  2. 2.
    Wang, Q., Zhang, C., Ding, Y., Xydis, G., Wang, J., Østergaard, J.: Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response. Appl. Energy 138, 695–706 (2015)CrossRefGoogle Scholar
  3. 3.
    Hamdaoui, Y., Maach, A.: A smart approach for intentional islanding based on dynamic selection algorithm in microgrid with distributed generation. In: 2017 International Conference on Big Data, Cloud and Application (BDCA), pp. 1–7. ACM (2017)Google Scholar
  4. 4.
    Guo, Y., Pan, M., Fang, Y.: Optimal power management of residential customers in the smart grid. IEEE Trans. Parallel Distrib. Syst. 23, 1593–1606 (2012)CrossRefGoogle Scholar
  5. 5.
    Taktak, E., Abdennadher, I., Rodriguez, I.B.: An adaptation approach for smart buildings. In: 2016 IEEE 18th International Conference on High Performance Computing and Communications, IEEE 14th International Conference on Smart City, IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1107–1114 (2016)Google Scholar
  6. 6.
    Weiss, M., Helfenstein, A., Mattern, F., Staake, T.: Leveraging smart meter data to recognize home appliances. In: Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 190–197. IEEE (2012)Google Scholar
  7. 7.
    Hamdaoui, Y., Maach, A.: A novel smart distribution system for an Islanded region. In: 2017 International Conference Advanced Information Technology, Services and Systems (AIT2S) (2017)Google Scholar
  8. 8.
    Hamdaoui, Y., Maach, A.: Dynamic balancing of powers in islanded microgrid using distributed energy resources and prosumers for efficient energy management. In: 2017 IEEE Smart Energy Grid Engineering (SEGE). IEEE (2017)Google Scholar
  9. 9.
    Guerrero, J.M., Vasquez, J.C., Matas, J., de Vicuna, L.G., Castilla, M.: Hierarchical control of droop-controlled AC and DC microgrids—a general approach toward standardization. IEEE Trans. Ind. Electron. 58, 158–172 (2011)CrossRefGoogle Scholar
  10. 10.
    Hamdaoui, Y., Maach, A.: Smart islanding in smart grids. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 175–180. IEEE (2016)Google Scholar
  11. 11.
    Ge, Y., Dong, Y., Zhao, H.: A cyber-physical energy system architecture for electric vehicles charging application. In: 2012 12th International Conference on Quality Software (QSIC), pp. 246–250. IEEE (2012)Google Scholar
  12. 12.
    Gurgen, L., Gunalp, O., Benazzouz, Y., Gallissot, M.: Self-aware cyber-physical systems and applications in smart buildings and cities. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 1149–1154. EDA Consortium (2013)Google Scholar
  13. 13.
    Nallamothu, B.K., Selvam, C., Srinivas, K., Prabhakaran, S.: Study on energy savings by using efficient utilities in buildings. In: Communication, Control and Intelligent Systems (CCIS), pp. 477–481. IEEE (2015)Google Scholar
  14. 14.
    Hamdaoui, Y., Maach, A.: Energy efficiency approach for smart building in islanding mode based on distributed energy resources. In: 2017 International Conference on Advanced Information Technology, Services and Systems (AIT2S) (2017)Google Scholar
  15. 15.
    Komninos, N., Philippou, E., Pitsillides, A.: Survey in smart grid and smart home security: issues, challenges and countermeasures. IEEE Commun. Surv. Tutor. 16, 1933–1954 (2014)CrossRefGoogle Scholar
  16. 16.
    Khanna, A.: Smart grid, smart controllers and home energy automation—creating the infrastructure for future. Smart Grid Renew. Energy. 03, 165–174 (2012)CrossRefGoogle Scholar
  17. 17.
    Oukrich, N., Elbouazzaoui, C., Maach, A., Bouchard, K., Elghanami, D.: Human activities recognition based on auto encoder pre-training and back-propogation algorithm. J. Theor. Appl. Inf. Technol. (2017) ISSN 1992-8645Google Scholar
  18. 18.
    Al-Sarawi, S., Anbar, M., Alieyan, K., Alzubaidi, M.: Internet of Things (IoT) communication protocols. In: 2017 8th International Conference on Information Technology (ICIT), pp. 685–690. IEEE (2017)Google Scholar
  19. 19.
    Hamdaoui, Y., Maach, A.: An intelligent islanding selection algorithm for optimizing the distribution network based on emergency classification. In: 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–7. IEEE (2017)Google Scholar
  20. 20.
    Ma, T., Yang, H., Lu, L.: A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island. Appl. Energy 121, 149–158 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer Science, Mohammedia Engineering School (EMI)Mohammed V UniversityRabatMorocco

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